Neoplasm Recurrence, Local

Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer.

International journal of medical informatics Dec 28, 2019

BACKGROUND: The proper estimate of the risk of recurrences in early-stage oral tongue squamous cell carcinoma (OTSCC) is mandatory for individual treatment-decision making. However, this remains a challenge even for experienced multidisciplinary cent...

Adolescent Incidence Cohort Studies Child Support Vector Machine Adult Male Middle Aged Brazil Combined Modality Therapy Supervised Machine Learning Tongue Neoplasms Chemoradiotherapy Finland Decision Trees Bayes Theorem Humans Mouth Neoplasms Algorithms Neoplasm Recurrence, Local Prognosis Female Aged Aged, 80 and over Young Adult

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An investigation of machine learning methods in delta-radiomics feature analysis.

PloS one Dec 13, 2019

PURPOSE: This study aimed to investigate the effectiveness of using delta-radiomics to predict overall survival (OS) for patients with recurrent malignant gliomas treated by concurrent stereotactic radiosurgery and bevacizumab, and to investigate the...

Glioma Magnetic Resonance Imaging Neoplasm Recurrence, Local Humans Image Interpretation, Computer-Assisted Radiosurgery Machine Learning Algorithms ROC Curve

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A 21‑gene Support Vector Machine classifier and a 10‑gene risk score system constructed for patients with gastric cancer.

Molecular medicine reports Nov 21, 2019

Gastric cancer (GC) ranks fifth in terms of incidence and third in terms of tumor mortality worldwide. The present study was designed to construct a Support Vector Machine (SVM) classifier and risk score system for GC. The GSE62254 (training set) and...

A Kinase Anchor Proteins Angiopoietin-Like Protein 1 Neoplasm Recurrence, Local Tumor Suppressor Proteins Kaplan-Meier Estimate Angiopoietin-like Proteins Middle Aged Gene Expression Profiling Gene Regulatory Networks Gene Expression Regulation, Neoplastic Membrane Proteins Support Vector Machine Databases, Genetic Carrier Proteins Nerve Tissue Proteins Female Humans Risk Factors Cytokines Aged Prognosis Stomach Neoplasms Male

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Machine-learning analysis of contrast-enhanced CT radiomics predicts recurrence of hepatocellular carcinoma after resection: A multi-institutional study.

EBioMedicine Nov 15, 2019

BACKGROUND: Current guidelines recommend surgical resection as the first-line option for patients with solitary hepatocellular carcinoma (HCC); unfortunately, postoperative recurrence rate remains high and there is no reliable prediction tool. We exp...

Humans Machine Learning Algorithms Male Liver Neoplasms Carcinoma, Hepatocellular Image Processing, Computer-Assisted Contrast Media Prognosis Retrospective Studies Tomography, X-Ray Computed Female Radiographic Image Enhancement Workflow Neoplasm Recurrence, Local Hepatectomy Proportional Hazards Models

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Re: Robot-Assisted Radical Prostatectomy after Focal Therapy: Oncological, Functional Outcomes and Predictors of Recurrence.

The Journal of urology Nov 4, 2019

Neoplasm Recurrence, Local Prostatectomy Humans Male Robotics Prostatic Neoplasms

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Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death.

Clinical cancer research : an official journal of the American Association for Cancer Research Oct 21, 2019

PURPOSE: Biomarkers for disease-specific survival (DSS) in early-stage melanoma are needed to select patients for adjuvant immunotherapy and accelerate clinical trial design. We present a pathology-based computational method using a deep neural netwo...

Algorithms Retrospective Studies Female Melanoma Risk Factors Aged Aged, 80 and over Young Adult Adult Biopsy Humans Neoplasm Recurrence, Local Neural Networks, Computer Deep Learning Survival Rate Image Processing, Computer-Assisted Male Staining and Labeling Middle Aged Follow-Up Studies Disease Progression Area Under Curve

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Deep learning in the detection of high-grade glioma recurrence using multiple MRI sequences: A pilot study.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Oct 21, 2019

The identification of high-grade glioma (HGG) progression may pose a diagnostic dilemma due to similar appearances of treatment-related changes (TRC) (e.g. pseudoprogression or radionecrosis). Deep learning (DL) may be able to assist with this task. ...

Magnetic Resonance Imaging Neoplasm Recurrence, Local Image Interpretation, Computer-Assisted Middle Aged Deep Learning Pilot Projects Glioma Female Humans Aged Adult Brain Neoplasms Male

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Re: Lorenzo Marconi, Thomas Stonier, Rafael Tourinho-Barbosa, et al. Robot-assisted Radical Prostatectomy After Focal Therapy: Oncological, Functional Outcomes and Predictors of Recurrence. Eur Urol 2019;76:27-30: Salvage Robotic Radical Prostatectomy for Recurrent Prostate Cancer After Focal Therapy.

European urology Oct 11, 2019

Prostatectomy Humans Male Robotics Prostatic Neoplasms Robotic Surgical Procedures Neoplasm Recurrence, Local Salvage Therapy

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Machine learning application for prediction of locoregional recurrences in early oral tongue cancer: a Web-based prognostic tool.

Virchows Archiv : an international journal of pathology Aug 17, 2019

Estimation of risk of recurrence in early-stage oral tongue squamous cell carcinoma (OTSCC) remains a challenge in the field of head and neck oncology. We examined the use of artificial neural networks (ANNs) to predict recurrences in early-stage OTS...

Tongue Neoplasms Middle Aged Humans Female Squamous Cell Carcinoma of Head and Neck Neural Networks, Computer Aged Internet Machine Learning Adult Neoplasm Recurrence, Local Prognosis Sensitivity and Specificity Male

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Re: Lorenzo Marconi, Thomas Stonier, Rafael Tourinho-Barbosa, et al. Robot-assisted Radical Prostatectomy After Focal Therapy: Oncological, Functional Outcomes and Predictors of Recurrence. Eur Urol 2019;76:27-30: Morphologic Documentation from Didactic Cases of Large-format Histology.

European urology Aug 13, 2019

Humans Neoplasm Recurrence, Local Male Documentation Robotics Prostatectomy Prostatic Neoplasms

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Explore the latest research on artificial intelligence and machine learning in medicine.

Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer.

An investigation of machine learning methods in delta-radiomics feature analysis.

A 21‑gene Support Vector Machine classifier and a 10‑gene risk score system constructed for patients with gastric cancer.

Machine-learning analysis of contrast-enhanced CT radiomics predicts recurrence of hepatocellular carcinoma after resection: A multi-institutional study.

Re: Robot-Assisted Radical Prostatectomy after Focal Therapy: Oncological, Functional Outcomes and Predictors of Recurrence.

Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death.

Deep learning in the detection of high-grade glioma recurrence using multiple MRI sequences: A pilot study.

Machine learning application for prediction of locoregional recurrences in early oral tongue cancer: a Web-based prognostic tool.

Re: Lorenzo Marconi, Thomas Stonier, Rafael Tourinho-Barbosa, et al. Robot-assisted Radical Prostatectomy After Focal Therapy: Oncological, Functional Outcomes and Predictors of Recurrence. Eur Urol 2019;76:27-30: Morphologic Documentation from Didactic Cases of Large-format Histology.

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